DATA-DRIVEN JUSTICE: DISRUPTING THE CYCLE

OF INCARCERATION

Biweekly Call

November 16, 2016

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TIPS FOR VIEWING THIS WEBINAR

TODAY’S PRESENTERS

Julia Lane

Professor, Robert F. Wagner Graduate School of Public Service, NYUProfessor, Center for Urban Science and Progress, NYUProvostial Fellow, Innovation Analytics

Frauke Kreuter

Professor, Joint Program in Survey Methodology, University of MarylandProfessor, Methods and Statistics, University of MannheimHead, Statistical Methods Group, German Institute for Employment Research, Nuremberg

Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Applied Data Analytics for

Public Policy

Rayid Ghani, Julia Lane, Frauke Kreuter

November 16, 2016

Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Program Facilitators

Rayid Ghani– Director, Center for Data Science and Public Policy

Senior Fellow, Harris School of Public Policy

Senior Fellow, Computational Institute, The University of Chicago

Frauke Kreuter

Julia Lane– Professor, Robert F. Wagner Graduate School of Public Service, NYU

Professor, Center for Urban Science and Progress, NYU

Provostial Fellow, Innovation Analytics

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SECTION TITLE

New Section

11 million people move through

3,100 Jails

$22 Billion in costs

64 % suffer from mental illness,

68% have a substance abuse disorder44 % suffer from chronic health problems

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Machine Learning systems can support targeted, preventative

interventions to help people at risk of interactions with the

criminal justice system

Jail & Criminal Justice

Of the top 200 predicted individuals

19 years total jail time

104 went to jail within 1 year

Mental Health

Services

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Goals of the Course

Develop new data products for government agencies

Create new integrated data to address cross- agency

challenges

Establish new networks across agencies and geographies to

address shared problems

Train the workforce in rigorous and modern computational

data analysis methods and tools for decision-making 1

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Approach

The program provides hands-on projects with real

microdata in a secure environment so that

participants can learn the basics of how to:

Code and collect new data

Work with spatial data

Manage complex data,

Apply machine learning, text and network analysis

Visualize relationships

Address inference issues

Manage privacy and confidentiality

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

First set of courses

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Data on

ex-offenders,

welfare

recipients and

veterans

Data on housing

and

transportation

Joined Up

Datasets

Trained Staff

New Products

New Networks

Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Approach

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Data

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Scenarios

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Logistics Overview

Three Classes

• Different cohorts (ex-offenders, welfare recipients and veterans)

• Joined with housing, transportation and jobs data

Class Format

• Module 1: Taught at UMD in person

• Module 2: At NYU; streamed to UC and UMD

• Module 3: At UC; streamed to NYU and UMD

• Module 4: At UMD; streamed to NYU and UC

Additional Information

• Final reports are all virtual

• Teaching Assistants and facilitators will be at each site for each module

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Logistics: Secure Environment

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https://vimeo.com/184721108

Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

Logistics:

Application Procedure

• Go online to

dataanalytics.umd.edu

• Registration

– Group discounts

– Scholarships available

for government staff

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

What are the benefits to

participants?

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Learn from experts from University of Chicago, New York

University, and University of Maryland

Meet other professionals and researchers in this growing field

and develop a network that builds your skills

Get access to the knowledge and experience of colleagues

at other organizations

Learn modern tools and techniques in computational data

science and social science1

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Executive Program in

Applied Data Analyticsdataanalytics.umd.edu

For more information on

Applied Data Analytics

Visit: dataanalytics.umd.edu

Email: dataanalytics@umd.edu Call: 301-315-7911

QUESTIONS?